利用声学可重构智能表面覆盖水下阴影区
Covering Underwater Shadow Zones using Acoustic Reconfigurable Intelligent Surfaces
AI总结：
本文针对水声通信阴影区导致断连的问题，提出利用声学可重构智能表面主动控制水下信道，建立阴影区模型并给出深海与浅海最优部署策略，经水池测试和Bellhop仿真验证可将能量覆盖率从不足20%提升至接近100%。
摘要：
为了更好地探索海洋，人们期望对广阔的三维水下空间实现无缝通信覆盖。与使用无线电信号的陆地网络不同，水声通信面临一个独特挑战：位于水下阴影区的节点即使在视距范围内也无法连接到网络。这些阴影区可延伸数十公里，导致通信节点断开连接。现有工作侧重于被动避开阴影区，但该策略无法在动态海洋环境中确保无缝覆盖。本文通过利用声学可重构智能表面（RIS）主动控制水下信道来解决阴影区问题。文中对阴影区进行了分析建模，并针对深海和浅海环境分别开发了最优RIS部署策略。考虑实际工程限制对声学RIS进行了重新设计，并通过水池测试进行了验证。基于Bellhop的仿真表明，在未部署RIS的情况下，无论声源强度如何，覆盖率均低于20%；而在最优RIS部署下，能量覆盖率可接近100%。
英文摘要：
To better explore the oceans, seamless communication coverage of the vast 3D underwater space is desired. Unlike terrestrial networks using radio signals, underwater acoustic communications face a unique challenge: nodes in underwater shadow zones cannot connect to the network, even within the line of sight. These shadow zones can extend for tens of kilometers, causing communication nodes to disconnect. Existing efforts focus on passive avoidance of shadow zones, but this strategy cannot ensure seamless coverage in dynamic ocean environments. This paper addresses the shadow zone problem by utilizing acoustic Reconfigurable Intelligent Surfaces (RIS) to actively control the underwater channel. Shadow zones are analytically modeled, and optimal RIS deployment strategies are developed for both deep-sea and shallow-sea environments. The acoustic RIS is redesigned considering practical engineering limitations and validated through pool tests. Bellhop-based simulations show that without RIS deployment, coverage is limited to less than 20%, regardless of source strength. However, with optimal RIS deployment, energy coverage can reach almost 100%.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
